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Statistics - Computational Statistics | Challenges at the Interface of Data Analysis, Computer Science, and Optimization - Proceedings

Challenges at the Interface of Data Analysis, Computer Science, and Optimization

Proceedings of the 34th Annual Conference of the Gesellschaft für Klassifikation e. V., Karlsruhe, July 21 - 23, 2010

Gaul, W., Geyer-Schulz, A., Schmidt-Thieme, L., Kunze, J. (Eds.)

2012, XIV, 598p. 163 illus..

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  • Focus on the interface between data analysis, computer science, and operations research
  • Cutting edge methods and results for many advanced data analysis problems
  • Covers traditional research directions as well as wide area of currently interesting application fields

This volume provides approaches and solutions to challenging problems occurring at the interface of research fields such as data analysis, computer science, operations research, and statistics. It includes theoretically oriented contributions as well as papers from various application areas, where knowledge from different research directions is needed to find an adequate analysis and interpretation of the observed data that match optimally the underlying practical situations. Beside traditional classification research, the book focuses also on current interests in fields such as the analysis of network data, graphs, and social relationships as well as on statistical musicology.

Content Level » Research

Keywords » Applied Statistics - Classification - Clustering - Data Analysis

Related subjects » Applications - Computational Statistics - Database Management & Information Retrieval - Operations Research & Decision Theory - Theoretical Computer Science

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